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Resolution of Uncertainty Through Testing

Resolution of Uncertainty Through Testing: The Impact of Pregnancy Tests on Reproductive and Maternal Health Beliefs and Behaviors in Uganda

Status
Terminated
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03179059
Enrollment
600
Registered
2017-06-07
Start date
2017-09-28
Completion date
2017-12-02
Last updated
2018-11-14

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Pregnancy Tests

Keywords

Reproductive Health, Family Planning, Randomization Trial, Uganda

Brief summary

Given the high rate of delayed adoption of antenatal care (ANC), and high rates of unintended pregnancy and unsafe abortion in Uganda, research on the period of time before confirmation of pregnancy is critical to understand underlying beliefs that guide behaviors ultimately important for maternal and neonatal health (UDHS, 2011; Hussain, 2013). Home pregnancy tests - which now cost less than 10 cents each - have the potential to facilitate FP uptake and significantly improve reproductive, maternal and child health outcomes in sub-Saharan Africa, including Uganda. These tests are easy to administer, disposable, inexpensive, and have a low false positive rate. Yet, for women living in rural areas in sub-Saharan countries, these tests are typically unavailable outside of health centers or they are prohibitively expensive. This study will investigate women's underlying beliefs about pregnancy status and examine how providing access to home-based pregnancy tests - thus facilitating earlier resolution of uncertainty of pregnancy status - influences such beliefs and decisions to take up family planning (FP) or seek appropriate pregnancy services. The results will inform the design of a larger study in the future.

Interventions

Among respondents who are randomly selected to receive a free home pregnancy test service, they will be offered the chance to take the test in the presence of the enumerator. Specifically, this would mean they would be given a cup to collect a sample of urine. The respondent would do so privately, then bring the cup back to the enumerator who would dip the home pregnancy tests and assist with interpreting the result. However, respondents can decline to take the test with the enumerator. Treatment assignment will be stratified by whether respondent use modern family planning at baseline.

DIAGNOSTIC_TESTPregnancy test at follow up survey

We will provide a free pregnancy tests in for the future use, they are randomly selected from intervention #1 treatment group.

Sponsors

University of California, San Francisco
CollaboratorOTHER
Mbarara University of Science and Technology
CollaboratorOTHER
Ichuli Consulting Limited
CollaboratorUNKNOWN
University of Illinois at Urbana-Champaign
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
DIAGNOSTIC
Masking
NONE

Eligibility

Sex/Gender
FEMALE
Age
18 Years to 35 Years
Healthy volunteers
Yes

Inclusion criteria

* Between the ages of 18-35 * Live in the catchment area

Exclusion criteria

\- Currently attending school End Survey if * Women in menopause * Women with sterilization * Women with husband/partner with sterilization * Women who do not understand what menstrual period is

Design outcomes

Primary

MeasureTime frameDescription
Binary measures for the family planning take upAt end line survey, half a year after interventionUse of any modern family planning method, use of oral contraceptives, use of injectables, use of short-acting reversible methods, use of long-acting reversible methods. We will measure take up as binary variables. We will also conduct sub-group analyses among women who are not using modern family planning at baseline and among women who are using modern family planning at baseline

Secondary

MeasureTime frameDescription
Binary measure of purchase of pregnancy test kit by priceAt end line survey, half a year after interventionBinary measures for the purchase of pregnancy test kit after baseline. Demand for pregnancy test kit is computed by Becker-DeGroot-Marschak (BDM) or/and Take it or leave it (TIOLI) method. We will also conduct sub-group analyses among women who are not using modern family planning at baseline and among women who are using modern family planning at baseline

Countries

Uganda

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026